เงื่อนไขการค้นหา

ประเภทงาน:

งานประจำ

Job Description We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ทักษะ:

SQL, Oracle, English

ประเภทงาน:

งานประจำ

• Ability to read, write, and speak Thai fluently.
• Excellent proficiency in English, both spoken and written.
• 3+ years experience with PowerBI, including report creation, dashboard development, and data visualization best practices.
• Proficiency in SQL for data extraction, advanced calculation, manipulation, and analysis.
• Experience working in one or all of the areas including: E-commerce order management; logistics and warehouse operations; central inventory management and replenishment.
• Experience querying Oracle, PostgreSQL, or similar, database technologies.
• Strong understanding of APIs, un/semi structure data, data modeling, and data integration techniques.
• Able to gather requirement from business users and are able to suggest on data visualization.
• Excellent problem-solving skills, with the ability to interpret and communicate complex data insights effectively.

ทักษะ:

Market Research, Research, Financial Modeling, English

ประเภทงาน:

งานประจำ

• Conduct market research and analysis to identify emerging trends, competitive landscapes, and growth opportunities within target markets.
• Analyze industry data, customer insights, and market dynamics to assess market size, segmentation, and potential market penetration strategies.
• Evaluate potential business opportunities, partnerships, and investments through financial modeling, feasibility studies, and risk assessments.
• Collaborate with sales, marketing, and product teams to develop go-to-market strategies and sales enablement initiatives for new business initiatives.
• Support the development of business cases, proposals, and presentations to stakeholders, including senior management, investors, and partners.
• Perform competitive analysis and benchmarking to identify key competitors, market positioning, and differentiation strategies.
• Monitor key performance indicators (KPIs), metrics, and milestones to track the progress and success of team initiatives.
• Bachelor's degree or higher in Business Administration, Finance, Economics, or related field.
• Proven at least 5 years of experience as a Business Analyst, Strategy Consultant, or similar role.
• Strong analytical skills with proficiency in market research and business modeling.
• Experience with analysis tools such as Excel, Power BI, Tableau.
• Excellent communication and presentation skills, with the ability to distill complex concepts into clear and compelling narratives.
• Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
• Good command in English.

ทักษะ:

Compliance, Research, Automation

ประเภทงาน:

งานประจำ

• DataOps, MLOps, and AIOpsDesign, build, and optimize scalable, secure, and efficient data pipelines for AI/ML workflows.
• Automate data ingestion, transformation, and deployment across AWS, GCP, and Azure.
• Implement MLOps and AIOps for model versioning, monitoring, and automated retraining.
• Ensure performance, security, scalability, and cost efficiency in AI lifecycle management.
• Performance Optimization & SecurityMonitor, troubleshoot, and optimize AI/ML pipelines and data workflows to enhance reliability.
• Implement data governance policies, security best practices, and compliance standards.
• Collaborate with cybersecurity teams to address vulnerabilities and ensure data protection.
• Data Engineering & System IntegrationDevelop and manage real-time and batch data pipelines to support AI-driven applications.
• Enable seamless integration of AI/ML solutions with enterprise systems, APIs, and external platforms.
• Ensure data consistency, quality, and lineage tracking across the AI/ML ecosystem.
• AI/ML Model Deployment & OptimizationDeploy and manage AI/ML models in production, ensuring accuracy, scalability, and efficiency.
• Automate model retraining, performance monitoring, and drift detection for continuous improvement.
• Optimize AI workloads for resource efficiency and cost-effectiveness on cloud platforms.
• Continuous Learning & InnovationStay updated on AI/ML advancements, cloud technologies, and big data innovations.
• Contribute to proof-of-concept projects, AI process improvements, and best practices.
• Participate in internal research, knowledge-sharing, and AI governance discussions.
• Cross-Functional Collaboration & Business UnderstandingWork with business teams to ensure AI models align with organizational objectives.
• Gain a basic understanding of how AI/ML supports predictive analytics, demand forecasting, automation, personalization, and content generation.
• Bachelor s degree in Computer Science, Data Engineering, Information Technology, or a related field. Advanced degrees or relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Azure Data Engineer) are a plus.
• Experience:Minimum of 3-5 years experience in a data engineering or operations role, with a focus on DataOps, MLOps, or AIOps.
• Proven experience managing cloud platforms (AWS, GCP, and/or Azure) in a production environment.
• Hands-on experience with designing, operating, and optimizing data pipelines and AI/ML workflows.
• Technical Skills:Proficiency in scripting languages such as Python and Bash, along with experience using automation tools.
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) is desirable.
• Strong knowledge of data processing frameworks (e.g., Apache Spark) and data pipeline automation tools.
• Expertise in data warehouse solutions and emerging data lakehouse architectures.
• Experience with AWS technologies is a plus, especially AWS Redshift and AWS SageMaker, as well as similar tools on other cloud platforms.
• Understanding of machine learning model deployment and monitoring tools.

ประเภทงาน:

งานประจำ

• Learning data operations with a thorough knowledge and understanding of relational databases, data structures, and the ability to cleanse, analyze, and connect data from multiple sources.
• Monitor and manage data quality processes and security of data.
• Can work night shift as required between 11PM- 7AM. Sometimes may work over day working hour with team as aligned with manager.
• Record all the incident when a job failed and fixed problem as soon as possible for making sure delivered data within SLA.
• Able to query data by user request and ensure the quality of service, responsible for user support.
• Document data operations and monitoring solutions in clear, concise guides.
• Manual export data from 3rd party (ex. e-mail, website) to input data warehouse.
• Operational improvement.
• Ensure that the service desk is providing effective and efficient support for users experiencing data-related issues.
• Data and Report Quality Assurance: lead data and report testing to identify discrepancies or errors.
• Communication: Keep stakeholders informed about data operations, incidents, and service desk performance.
• Align with business objectives: Collaborate with business units to understand their data needs and ensure the data operations support their goals..
• Specification
• Bachelor's Degree in Business Administration, Computer Science, Information Technology or related.
• Be responsible to ensure daily work is completed as per SLA to ensure system stability and availability for users before start of working hour e.g. Data runs successfully and completed for use by 8.30AM.
• Able to work in shift (day/night).
• Strong SQL, PL SQL, Python skills.
• Experience with Qlik Sense and Power BI will be advantage.
• Key Competencies
• Negotiated Skill.
• Follow up incident in short-term, long-term solution.
• Independence and dynamic with decision making and problem-solving skills.

ทักษะ:

Research, Automation, Statistics

ประเภทงาน:

งานประจำ

• Work on Data Architecture. They use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements.
• Collect Data. Before initiating any work on the database, they have to obtain data from the right sources. After formulating a set of dataset processes, data engineers store optimized data.
• Conduct Research. Data engineers conduct research in the industry to address any issues that can arise while tackling a business problem.
• Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
• Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
• Bachelor Degree in IT, computer science, statistics, mathematics, business, or related field.
• Minimum of 3 years' experience in data engineer roles.
• Experience in the data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation.
• Experience with data tools and languages like CLOUD, Python, Java similar.
• Experience with data processing, ETL and workflow and messaging queue like Kafka.
• Data Warehousing.
• Data Structure.
• ETL Tools Programming Languages (Python, Java, Pyspark).

ประเภทงาน:

งานประจำ

• วิเคราะห์กระบวนการทางธุรกิจ ผ่านการค้นคว้าข้อมูล เก็บรวมรวมความต้องการ (As Is Requirement) ของผู้ใช้งาน ทำความเข้าใจ ศึกษากระบวนการ (Business Process) ตลอดจนข้อกำหนดทางธุรกิจ (Business Rules) ของหน่วยงาน และหาความรู้เกี่ยวกับธุรกิจที่เกี่ยวข้อง เพื่อทำเป็นรายงานและ Dashboard สิ่งที่ต้องพัฒนาเพิ่มเติม (Gap Analysis) ขอบเขตการทำงาน (Scope of Work) เพื่อหาวิธีการแก้ปัญหา หรือเพิ่มโอกาสทางธุรกิจด้วยเครื่องมือที่เหมาะสม.
• Key Responsibilities (หน้าที่ความรับผิดชอบหลัก).
• วิเคราะห์ข้อมูลจากภายในและภายนอกองค์กร (Internal & External Data Analysis).
• เก็บรวบรวมและวิเคราะห์ข้อมูลที่ส่งผลกระทบต่อองค์กร จากหลายแหล่ง ทั้งภายในและภายนอก ทั้งในด้าน Finance & Non Finance รวมถึง เหตุการณ์ที่เกิดขึ้นอันอาจจะกระทบความเป็นอยู่ของพนักงาน.
• วิเคราะห์พฤติกรรม/เหตุการณ์ และคาดการณ์โอกาสหรือผลอันอาจจะกระทบต่อบริษัทและพนักงาน.
• ออกแบบและทำการทดสอบวิธีใช้งานข้อมูลและเทคนิคการวิเคราะห์ใหม่ๆ เพื่อนำเสนอมุมมองทางธุรกิจใหม่ๆให้แก่ผู้ที่เกี่ยวข้อง
• การจัดทำรายงานและ Dashboard.
• จัดทำรายงานสรุปข้อมูลที่เข้าใจง่าย และสร้าง Dashboard ให้ผู้บริหาร.
• นำเสนอผลการวิเคราะห์เพื่อประกอบการตัดสินใจเชิงกลยุทธ์.
• สนับสนุนการทำงานของทีมงานในด้านข้อมูล.
• การสร้าง ดูแล และ อัปเดตฐานข้อมูล และการประมวลผลข้อมูลขนาดใหญ่.
• พัฒนาและใช้งานระบบอัตโนมัติ ในการทำงานกับฐานข้อมูล.
• งานอื่นๆที่เกี่ยวข้องเพื่อสนับสนุนการทำงานของทีมวิเคราะห์ข้อมูล.

ประเภทงาน:

งานประจำ

• Lazada s strong performance led to the acquisition of a majority stake by Alibaba Group in April 2016. Given our tremendous growth, we are searching for dynamic, entrepreneurial, broad-minded individuals to be part of our rapidly expanding team! Join our diverse and motivated team to hone in on your creativity as well as implement new initiatives within a nurturing, equal opportunity environment!.
• Lazada Thailand employs over 850+ professionals and has won many awards namely for Top Marketplace from Priceza and People's Choice 2017..
• Job Scope.
• ꔷ Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision making.
• ꔷ Data extraction via SQL for analysis and reporting purpose, ensuring data quality and accuracy.
• ꔷ Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
• ꔷ Participate in data governance initiatives, ensuring compliance with data privacy and security regulations.
• ꔷ Collaborate with cross-functional teams to consolidate and track progress of business actions, as well as ensuring delivery of reports and insights.
• ꔷ Maintain in-house data and documentation portals, ensuring data quality and up-to-date information & reports.
• ꔷ Stay updated with industry trends and new technologies to enhance data analytics capabilities..
• ꔷ Bachelor's/Master's Degree, preferably in MBA, Management, Business Analytics, Statistics, Mathematics.
• ꔷ Strong analytical and problem-solving skills, with ability to breakdown complex problems into simpler pieces.
• ꔷ Effective communicator with excellent presentation skills.
• ꔷ Self-motivated, strong ownership and strong team management skills.
• ꔷ Prior knowledge & experience on working with SQL is desirable, and at least one data visualization tool (e.g., Tableau, Power BI).
• ꔷ At least 2-3 years of work experience in analytics, consulting, or other quantitative position would be highly preferred.
• ꔷ Able to communicate in Chinese would be additional advantage.

ทักษะ:

Business Development, Data Analysis, SQL

ประเภทงาน:

งานประจำ

• Lead the development and execution of data-driven strategies to optimize sales and business development efforts within seller segment.
• Analyze large datasets to identify trends, opportunities, and potential risks, providing actionable insights to the sales and category management teams.
• Collaborate with cross-functional teams to design and implement data visualization tools and dashboards for monitoring performance and decision-making.
• Monitor market trends, competitors, and customer behavior to inform category strategies and adjust as needed to maintain a competitive edge.
• Develop and maintain predictive models to forecast sales, identify potential upselling and cross-selling opportunities, and assess the impact of promotional activities.
• Bachelor's degree in Business Administration.
• Minimum of 3 years of experience in data analytics, with a focus on sales and/or category management in a fast-paced, e-commerce environment.
• Proficient in using data analysis tools such as SQL, Python, R, and experience with data visualization platforms like Tableau or Power BI.
• Strong understanding of statistical analysis and modeling techniques, with the ability to communicate complex findings to non-technical stakeholders.
• Excellent interpersonal and communication skills, capable of building relationships and influencing decision-making across different teams.

ทักษะ:

Project Management, Market Research, Research, English

ประเภทงาน:

งานประจำ

• Lead & support planning of tasks needed to manage the project deliverables.
• Coordinate with our project management team, data collection team and with commercial team.
• Ensure activities related to data collection (briefing / debriefing / training/ data collection/validations/quality checks/delivery) as per schedule and with high level of accuracy and quality by providing regular updates.
• Proactive identifying potential project issues / risks, raise/feedback such risks and coordinate cross functional /other departments to clarify project related problems / issues to ensure that instructions are carried out correctly.
• Ensure efficiency in operations through a regular review of QC processes and improvement of systems and procedures.
• Achieve performance goals related to quality programs/ initiatives, ensure all work performed within the standards and policies.
• Perform any other tasks related to functions that may be assigned.
• 3 years + of supervisory experience.
• Experience in market research is preferred.
• Proficiency in MS office tools.
• Strong verbal & written communications skills, able to communicate in English is a must.
• Additional Information
• Our Benefits.
• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee-Assistance-Program (EAP).
• About NIQ.
• NIQ is the world s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights delivered with advanced analytics through state-of-the-art platforms NIQ delivers the Full View&trade. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world s population.
• For more information, visit NIQ.com.
• Want to keep up with our latest updates?.
• Follow us on: LinkedIn | Instagram | Twitter | Facebook.
• Our commitment to Diversity, Equity, and Inclusion.
• NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Big Data, Good Communication Skills, Scala

ประเภทงาน:

งานประจำ

• You will be involved in all aspects of the project life cycle, including strategy, road-mapping, architecture, implementation and development.
• You will work with business and technical stakeholders to gather and analyse business requirements to convert them into the technical requirements, specifications, mapping documents.
• You will collaborate with technical teams, making sure the newly implemented solutions/technology are meeting business requirements.
• Outputs include workshop sessions and documentation including mapping documents.
• Develop solution proposals that provide details of project scope, approach, deliverables and project timeline.
• Skills and attributes for success.
• 2-4 years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects.
• Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies.
• Ability to produce client ready solution, business understandable presentations and good communication skills to lead and run workshops.
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka.
• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault.
• Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools.
• An in depth understanding of Cloud solutions (AWS, Azure and/or GCP) and experienced in integrating into traditional hosting/delivery models.
• Ideally, you ll also have.
• Experience in engaging with both technical and non-technical stakeholders.
• Strong consulting experience and background, including engaging directly with clients.
• Demonstrable Cloud experience with Azure, AWS or GCP.
• Configuration and management of databases.
• Experience with big data tools such as Hadoop, Spark, Kafka.
• Experience with AWS and MS cloud services.
• Python, SQL, Java, C++, Scala.
• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
• What working at EY offers.
• Support, coaching and feedback from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that s right for you.
• about EY
• As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
• If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
• Join us in building a better working world. Apply now!.

ประเภทงาน:

งานประจำ

• ออกแบบและดำเนินการวิเคราะห์ข้อมูลเชิงลึก เพื่อสนับสนุนกลยุทธ์องค์กร และเพิ่มประสิทธิภาพการดำเนินงาน.
• สร้าง Dashboard และรายงานแบบ Interactive โดยใช้ Power BI หรืออื่นๆ.
• สร้าง Framework สำหรับการวิเคราะห์ข้อมูลแบบ End-to-End ตั้งแต่การเก็บข้อมูล ไปจนถึงการนำเสนอผลลัพธ์.
• สร้างแบบจำลองทางสถิติ (Predictive Model) เช่น Sales Demand Forecasting, Fuel Consumption Trends, Customer Lifetime Value.
• ทำงานร่วมกับธุรกิจ ในการแปลปัญหาทางธุรกิจให้เป็นโจทย์การวิเคราะห์ข้อมูล พร้อมนำเสนอ Insight ที่มี Impact.
• ร่วมกำหนด KPI และ Data Strategy กับหน่วยงานธุรกิจ.
• สื่อสารผลการวิเคราะห์ให้เข้าใจง่าย พร้อมข้อเสนอแนะเชิงกลยุทธ์ที่นำไปปฏิบัติได้.
• ปริญญาตรีขึ้นไปในสาขา Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์อย่างน้อย 2-5 ปีในด้าน Data Analytics หรือ Data Science.
• มีประสบการณ์ด้าน Data Visualization และสามารถนำเสนอข้อมูลได้อย่างมีประสิทธิภาพ.
• มีทักษะการเขียนโปรแกรม เช่น Python, R, SQL และเครื่องมือ BI เช่น Power BI, Tableau หรือใกล้เคียง.
• มีทักษะการสื่อสารและการคิดเชิงวิเคราะห์ (Analytical Thinking) ที่ยอดเยี่ยม.
• เข้าใจแนวคิด Machine Learning และสามารถใช้ Libraries เช่น scikit-learn, XGBoost, TensorFlow, PyTorch ได้.
• มีความรู้ความเข้าใจเกี่ยวกับการทำ Forecasting, Clustering และ Predictive Analytics.
• หากมีประสบการณ์กับ Cloud Platform (เช่น AWS, GCP, Azure) จะพิจารณาเป็นพิเศษ.

ประเภทงาน:

งานประจำ

• Analyze client business processes and value chains, and benchmark client performance against data & AI leaders to identify opportunities to drive business value.
• Lead and contribute to the development of AI strategy and roadmap, including use case identification, business case development, and prioritization.
• Design the target operating model for Data & AI Center of Excellence.
• Conduct capabilities assessments regarding data & AI readiness and maturity.
• Collaborating with industry experts and client stakeholders to define benchmark-informed KPIs and success metrics.
• Creating executive-level deliverables including vision statements, maturity assessments, and transformation blueprints.
• 2-5 years of experience in business or technology strategy.
• Business case development.
• Operating model design.
• Capabilities- & Maturity Assessment.
• Strong client-facing skills, structured thinking, presentation skills and ability to drive workstream independently.
• Foundational understanding of how Data & AI helps address key business pain points regardless of industry.
• Experience in agri-business, supply chain, or industrial operations is highly desirable.
• Experience in a previous high impact strategy consulting role is highly desirable.
• This role is open for both Thai Nationals and Foreigners residing in Thailand.

ทักษะ:

Big Data, Hive, SAS

ประเภทงาน:

งานประจำ

• Experience migrating from on-premise data stores to cloud solutions.
• Knowledge of system design and platform thinking to build sustainable solution.
• Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
• Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
• Experience with agile software delivery and CI/CD processes.
• Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
• At least 3 years of experience in data analysis and modeling.
• Proficiency in Python, and SQL.
• Experience with data visualization tools such as Tableau, Grafana or similar.
• Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
• Strong problem-solving skills and the ability to work independently as well as collaboratively.
• Growth Potential: This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
• Contact: [email protected].
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

ทักษะ:

Big Data, Research, Statistics

ประเภทงาน:

งานประจำ

• Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
• Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
• Work with developers and a variety of business owners to deliver daily results with the best quality.
• Research discover and harness new ideas that can make a difference.
• What You'll Need to Succeed.
• 4+ years hands-on data science experience.
• Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
• Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
• Can lead, work independently as well as play a key role in a team.
• Good communication and interpersonal skills for working in a multicultural work environment.
• It's Great if You Have.
• PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields.
• Experience in NLP, image processing and/or recommendation systems.
• Hands on experience in data engineering, working with big data framework like Spark/Hadoop.
• Experience in data science for e-commerce and/or OTA.
• We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ทักษะ:

SQL, Python, SAS

ประเภทงาน:

งานประจำ

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query,model,generative AI.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment.

ทักษะ:

Big Data, Hive, SAS

ประเภทงาน:

งานประจำ

• System Design: Knowledge of system design and platform thinking to build sustainable solutions.
• Big Data Experience: Practical experience with modern and traditional Big Data stacks (e.g., BigQuery, Spark, Databricks, duckDB, Impala, Hive).
• Data Warehouse Solutions: Experience working with data warehouse solutions, ELT tools, and techniques (e.g., Airflow, dbt, SAS, Nifi).
• API Development: Experience with API design to facilitate integration of LLMs with other systems.
• Prompt Engineering: Skills in designing sequential tasks for LLMs to achieve efficient and accurate outputs.
• Agile Methodologies: Experience with agile software delivery and CI/CD processes.
• Education: Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
• Experience: At least 3 years of experience in data engineering and modeling.
• Technical Skills: Proficiency in Python, experience with LLM frameworks (e.g., LangChain), and familiarity with cloud computing platforms.
• Cloud Computing: Familiarity with cloud computing platforms, such as GCP, AWS, or Databricks.
• Problem-Solving: Strong problem-solving skills with the ability to work independently and collaboratively.
• Growth Potential: This role offers a clear path to advance into AI engineering, providing opportunities to work on innovative projects and develop new skills in AI transformation and machine learning..
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

ทักษะ:

Python, SQL, Analytical Thinking, English

ประเภทงาน:

งานประจำ

• English as working language.
• Minimum of 3 years data analytics related working experiences.
• At least 1 year of working experience directly communicate to business team.
• Proficient in Python or SQL.
• Advanced hands on experiences with visualization tool.
• Strong communication and analytical thinking skills.
• Good balance of data and business knowledge.
• Fintech or banking industry.
• Internet companies with mobile application.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

ทักษะ:

Data Analysis, Industrial Engineering, Finance

ประเภทงาน:

งานประจำ

• Insight Generation & Strategic Recommendations: Utilize deep knowledge of market trends, financial data, and process standards to generate actionable insights. Develop analysis models and provide strategic recommendations that drive business decisions and improvements in operations efficiency.
• Business Analysis & Reporting: Collaborate with senior management to analyze internal and external data sources. Develop comprehensive reports and presentations that support key initiatives and guide the business in trial projects and rollouts.
• Model Development & Data Integrity: Develop and maintain robust analytical models that support business analysis. Ensure data integrity and create best-practice reports based on thorough data analysis and visualization.
• Stakeholder Collaboration & Facilitation: Lead and facilitate collaboration across the business, ensuring alignment and engagement among stakeholders. Work closely with process and budget owners to achieve business objectives and implement strategic recommendations.
• Project Tracking & Risk Mitigation: Regularly monitor and update project progress, ensuring milestones are met. Develop and execute mitigation plans for any critical issues, ensuring the successful delivery of projects.
• Consultation & End-User Support: Provide initial consultation and tailored solutions to stakeholders based on business analysis. Occasionally develop dashboards and train end users to ensure effective use of insights and tools.
• 2-5 years+ working experience in Data Analytics, Process Improvement.
• Master's Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
• Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.).
• Skilled in process improvement, project management, and data analysis.
• Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
• Ability to work independently and under pressure with business-partnering mindset.
• Good presentation, communication and influencing skills.
• Able to work 2 sites' office ( Head office - Phattanakarn, and Central office - Nawamin office).
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ทักษะ:

Compliance, Risk Management

ประเภทงาน:

งานประจำ

• Develop & Implement Data Governance Framework - Establish policies, standards, and best practices for data management.
• Ensure Data Quality & Integrity - Monitor and improve data accuracy, consistency, and completeness.
• Regulatory Compliance & Risk Management - Ensure adherence to data privacy laws (e.g., PDPA, GDPR) and mitigate risks.
• Define Data Ownership & Stewardship - Assign roles and responsibilities for data management across the organization.
• Manage Data Lineage & Metadata - Maintain a data catalog, track data sources, and ensure proper documentation.
• Gather & Translate Business Requirements - Convert business needs into technical specifications for development teams.
• Document functional and non-functional requirements for data and technology projects.
• System & Process Improvement - Identify gaps in existing systems and workflows and recommend improvements.
• Stakeholder Communication - Act as a bridge between business users and IT teams, simplifying complex technical concepts.
• Compliance & Security Considerations - Ensure data solutions align with governance policies and regulatory requirements.
• Bachelor s or Master s degree in Data Science, Information Management, Computer Science, Business Administration, or a related field.
• Certifications in Data Governance (e.g., DAMA CDMP), Data Privacy (e.g., CIPP/E, CIPM), or Risk Management are a plus.
• Experience in data governance, data management, or related fields.
• Skills in a leadership or managerial role, overseeing data governance initiatives.
• Proven track record in developing and implementing data governance frameworks, policies, and standards.
• Hands-on experience in data quality management, metadata management, and data lineage tracking.
• Strong background in regulatory compliance (e.g., PDPA, GDPR, CCPA) and risk management.